Comparison of data mining algorithms: Prediction for insurance companies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU114710" target="_blank" >RIV/00216305:26510/15:PU114710 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of data mining algorithms: Prediction for insurance companies
Original language description
The case study discusses using of Business Intelligence tools, specifically the MS SQL Server 2012 Data Mining. The case study describes and compares using of various algorithms and also is focused on their using in insurance companies. The paper thus aims at comparing different algorithms on selected types of tasks to achieve more efficient use of Data Mining which ultimately allows gaining a competitive advantage, higher revenues or reducing risks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50602 - Public administration
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH
ISBN
978-0-9860419-4-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
„ 1782“-„ 1791“
Publisher name
IBIMA
Place of publication
Amsterdam
Event location
Amsterdam
Event date
May 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000360508700174